ScholarGate
Get started

Method evidence record

Hellinger Distance

Hellinger distance is a symmetric, bounded metric that measures the difference between two probability distributions. Rooted in the work of Ernst Hellinger (1909) and later formalized in statistical divergence by Anil Bhattacharyya (1946), this distance ranges from 0 (identical distributions) to 1. It is a true metric satisfying all mathematical distance properties and is particularly well-suited for comparing probability distributions in a symmetric, numerically stable manner.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

Recorded

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Hellinger Distance Metric

Taxonomic method recordmcdmdecision-making

  1. Hellinger, E. (1909). Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen. Journal für die Reine und Angewandte Mathematik, 136, 210-271. · DOI 10.1515/crll.1909.136.210

  2. Bhattacharyya, A. (1946). On a measure of divergence between two multinomial populations. Sankhya, 7, 401-406. · URL

Open full method2 recorded citations, copied from the method source record.

Curated claims

Assessed

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Suggested2

Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.